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Integrating fine scale information in super-resolution land-cover mapping / A. Boucher in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 8 (August 2007)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 73 n° 8 (August 2007) . - pp 913 - 921 Titre : Integrating fine scale information in super-resolution land-cover mapping Type de document : Article/Communication Auteurs : A. Boucher, Auteur ; P.C. Kyriakidis, Auteur Année de publication : 2007 Article en page(s) : pp 913 - 921 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] analyse des mélanges spectraux [Termes IGN] analyse infrapixellaire [Termes IGN] carte d'occupation du sol [Termes IGN] krigeage [Termes IGN] limite de résolution géométrique [Termes IGN] variogramme Résumé : (Auteur) Super-resolution or sub-pixel class mapping is the task of providing fine spatial resolution maps of, for example, landcover classes, from satellite sensor measurements obtained at a coarser spatial resolution. Often, the only information available consists of coarse class fraction data, typically obtained through spectral unmixing. This paper shows how to integrate, in addition to such coarse fractions, class labels at a set of fine pixels obtained independent of the satellite sensor measurements. The integration of such fine spatial resolution information is achieved within the Indicator Kriging formalism in either a prediction or simulation mode. The spatial dissimilarity or texture of class labels at the fine (target) resolution is quantified in a non-parametric way from an analog scene using a set of experimental indicator semivariogram maps. The output of the proposed procedure consists of maps of probabilities of class occurrence, or of a series of simulated class maps characterizing the inherent spatial uncertainty in the super-resolution mapping process. Numéro de notice : A2007-370 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.73.8.913 En ligne : http://dx.doi.org/10.14358/PERS.73.8.913 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28733 [article]

Super-resolution land cover mapping with indicator geostatistics / A. Boucher in Remote sensing of environment, vol 104 n° 3 (15/10/2006)  

Public [article]  inRemote sensing of environment > vol 104 n° 3 (15/10/2006) . - pp 264 - 282 Titre : Super-resolution land cover mapping with indicator geostatistics Type de document : Article/Communication Auteurs : A. Boucher, Auteur ; P.C. Kyriakidis, Auteur Année de publication : 2006 Article en page(s) : pp 264 - 282 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] carte d'occupation du sol [Termes IGN] Chine [Termes IGN] delta [Termes IGN] fleuve [Termes IGN] géostatistique [Termes IGN] image Landsat-TM [Termes IGN] incertitude de position [Termes IGN] krigeage [Termes IGN] problème inverse [Termes IGN] variogramme Résumé : (Auteur) Many satellite images have a coarser spatial resolution than the extent of land cover patterns on the ground, leading to mixed pixels whose composite spectral response consists of responses from multiple land cover classes. Spectral unmixing procedures only determine the fractions of such classes within a coarse pixel without locating them in space. Super-resolution or sub-pixel mapping aims at providing a fine resolution map of class labels, one that displays realistic spatial structure (without artifact discontinuities) and reproduces the coarse resolution fractions. In this paper, existing approaches for super-resolution mapping are placed within an inverse problem framework, and a geostatistical method is proposed for generating alternative synthetic land cover maps at the fine (target) spatial resolution; these super-resolution realizations are consistent with all the information available. More precisely, indicator coKriging is used to approximate the probability that a pixel at the fine spatial resolution belongs to a particular class, given the coarse resolution fractions and (if available) a sparse set of class labels at some informed fine pixels. Such Kriging-derived probabilities are used in sequential indicator simulation to generate synthetic maps of class labels at the fine resolution pixels. This non-iterative and fast simulation procedure yields alternative super-resolution land cover maps that reproduce: (i) the observed coarse fractions, (ii) the fine resolution class labels that might be available, and (iii) the prior structural information encapsulated in a set of indicator variogram models at the fine resolution. A case study is provided to illustrate the proposed methodology using Landsat TM data from SE China. Numéro de notice : A2006-415 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.04.020 En ligne : https://doi.org/10.1016/j.rse.2006.04.020 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28139 [article]

On the prediction error variance of the common spatial interpolation schemes / P.C. Kyriakidis in International journal of geographical information science IJGIS, vol 20 n° 8 (september 2006)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 20 n° 8 (september 2006) . - pp 823 - 855 Titre : On the prediction error variance of the common spatial interpolation schemes Type de document : Article/Communication Auteurs : P.C. Kyriakidis, Auteur ; Michael F. Goodchild, Auteur Année de publication : 2006 Article en page(s) : pp 823 - 855 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] interpolation bilinéaire [Termes IGN] interpolation linéaire [Termes IGN] précision géométrique (imagerie) [Termes IGN] propagation d'erreur Résumé : (Auteur) Three forms of linear interpolation are routinely implemented in geographical information science, by interpolating between measurements made at the endpoints of a line, the vertices of a triangle, and the vertices of a rectangle (bilinear interpolation). Assuming the linear form of interpolation to be correct, we study the propagation of error when measurement error variances and covariances are known for the samples at the vertices of these geometric objects. We derive prediction error variances associated with interpolated values at generic points in the above objects, as well as expected (average) prediction error variances over random locations in these objects. We also place all the three variants of linear interpolation mentioned above within a geostatistical framework, and illustrate that they can be seen as particular cases of Universal Kriging (UK). We demonstrate that different definitions of measurement error in UK lead to different UK variants that, for particular expected profiles or surfaces (drift models), yield weights and predictions identical with the interpolation methods considered above, but produce fundamentally different (yet equally plausible from a pure data standpoint) prediction error variances. Copyright Taylor & Francis Numéro de notice : A2006-347 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810600711279 En ligne : https://doi.org/10.1080/13658810600711279 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28071 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-06081	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-06082	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Geostatistic for conflation and accuracy assessment of digital elevation models / P.C. Kyriakidis in International journal of geographical information science IJGIS, vol 13 n° 7 (november 1999)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 13 n° 7 (november 1999) . - pp 677 - 707 Titre : Geostatistic for conflation and accuracy assessment of digital elevation models Type de document : Article/Communication Auteurs : P.C. Kyriakidis, Auteur ; A.M. Shortridge, Auteur Année de publication : 1999 Article en page(s) : pp 677 - 707 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie spatiale [Termes IGN] fusion de données multisource [Termes IGN] modèle numérique de surface [Termes IGN] précision Numéro de notice : A1999-045 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/136588199241067 En ligne : https://doi.org/10.1080/136588199241067 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26250 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-99071	RAB	Revue	Centre de documentation	En réserve L003	Disponible